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[SC24-1] Using AI Approaches for Predicting Brain Ageing Changes in Schizophrenia

*Lan-Ying Huang¹, Han-Jung Hsiao², Zong-Zhun Lin², Chi-Wei Chen^3,4, Yen-Wei Chu^{1,2,5,6,7,8,9,10} (1. Ph.D. Program in Medical Biotechnology, National Chung Hsing University, Taichung 402, Taiwan, 2. Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung 402, Taiwan, 3. Graduate Degree Program of Smart Healthcare & Bioinformatics, I-Shou University, Kaohsiung 82445, Taiwan, 4. Department of Biomedical Engineering, I-Shou University, Kaohsiung 82445, Taiwan, 5. Rong Hsing Research Center for Translational Medicine, National Chung Hsing University, Taichung 402, Taiwan, 6. Biotechnology Center, National Chung Hsing University, Taichung 402, Taiwan, 7. Agricultural Biotechnology Center, National Chung Hsing University, Taichung 402, Taiwan, 8. Ph.D. Program in Translational Medicine, National Chung Hsing University, Taichung 402, Taiwan, 9. Institute of Molecular Biology, National Chung Hsing University, Taichung 402, Taiwan, 10. Smart Sustainable New Agriculture Research Center (SMARTer), Taichung 402, Taiwan)

Keywords:Ageing, Schizophrenia, Artificial Intelligence, Brain age